Translate Biological 研究 Data into Knowledge That Improves Human Health
The 生物信息学 minor introduces you to the fields of bioinformatics and data science, giving you opportunities to develop skills in data handling, 云计算, big data management and biomedical informatics. Dive into research and project-based coursework alongside your professors, and present professional-level research as an undergraduate.
Why study 生物信息学 at St. 爱德华的?
Studying bioinformatics enhances your skills in critical thinking, research and analysis, 团队合作, and communication — valuable assets to any career. The 生物信息学 minor strengthens most any degree you pursue, especially in the sciences, such as mathematics, 计算机科学, biology and biochemistry.
Explore Details 关于 a 小 in 生物信息学
To complete the minor, students take 11 hours of required courses and 10–12 hours of electives. 选修课, a minimum of two courses must be 3000-level or higher and a minimum of one course must be a 4-credit course.
Required Courses: 11 hours
- 生物信息学 I (1 hour)
- General Biology I (3 hours)
- General Biology I Lab (1 hour)
- 分子遗传学 (3 hours)
- Biological Programming (3 hours)
Required Electives: Choose 10–12 hours
- 生物统计学 (3 hours)
- 基因组学(4小时)
- 生物信息学 II (4 hours)
- Human Genetics (3 hours)
- Geographic Information Systems (3 hours)
- Computing Sciences Concepts II (4 hours)
- Component Based Programming (3 hours)
- Introduction to Data Science (4 hours)
What You Will Learn
Studying bioinformatics provides a clear picture of the important role the field plays in the advancement of biomedical research, 有效的药, healthcare and public health worldwide. You’ll gain a hands-on understanding of how massive sets of biological data are generated, organized and used to gain insights into molecular life science.
A few examples of courses students in this minor take:
- 分子遗传学 – Offers a study of the structure and function of DNA as the genetic material and focuses on details surrounding the “central dogma of molecular biology,” including DNA replication, 转录, RNA processing and translation, as well as mechanisms of control and regulation of expression of genetic information.
- 生物统计学 – Provides an introduction to statistical methods and their application to biology. Topics include basics of probability, measures of central tendency, graphing and parametric tests, including but not limited to t-test, Chisquare, 方差分析, 双向方差分析, correlation and regression. This course utilizes R programming code and will spend time developing basic coding skills. No previous coding or 计算机科学 experience is required.
研究
In the 生物信息学 minor, you’ll have the opportunity to carry out independent and faculty-mentored research utilizing the university’s state-of-the-art labs, greenhouse and Wild Basin Creative 研究 Center, a nature preserve in Austin managed by St. 爱德华的. You’ll be encouraged to present your research findings at scientific meetings regionally and on campus.
圣. 爱德华的 chapter of the Texas Academy of Science supports student research, including presentation and publication opportunities. Members also tutor in the sciences and complete other service projects.